Power BI & Tableau (Data Visualization) Masterclass

Master data visualization with Power BI and Tableau. Learn to transform raw data into clear, interactive dashboards and insights that drive decisions.
Why Choose the Power BI & Tableau (Data Visualization) Masterclass?  Importance of Data Visualization: In today’s data-rich world, raw numbers and complex datasets can be overwhelming. Data visualization is the art and science of translating this complexity into clear, compelling, and actionable visual insights. It’s about empowering decision-makers to quickly understand trends, identify patterns, and communicate findings effectively. Tools like Power BI and Tableau are industry leaders in creating interactive dashboards and reports that transform data into engaging visual stories. Mastering data visualization is crucial for anyone looking to bridge the gap between data and business intelligence, making them an invaluable asset in any data-driven organization.  Key Benefits of This Course: 
  • Master Industry-Leading Tools: Gain hands-on proficiency with both Microsoft Power BI and Tableau, giving you versatility in the job market. 
  • Effective Data Storytelling: Learn the principles of visual communication to create impactful dashboards and reports that tell a clear story. 
  • Transform Raw Data: Develop skills in connecting to diverse data sources, cleaning, transforming, and modeling data for analysis. 
  • Interactive Dashboard Design: Create dynamic and user-friendly dashboards that allow stakeholders to explore data and discover insights independently. 
  • Strategic Decision Support: Learn to present findings in a way that directly supports business objectives and aids informed decision-making. 
  • High-Demand Skill: Data visualization specialists and BI developers are in high demand across all sectors as companies seek to leverage their data assets. 
  • Build a Strong Portfolio: Complete numerous hands-on exercises and comprehensive projects that showcase your abilities to visualize and interpret data. 
  • Complementary to Data Roles: This skill set perfectly complements roles in data analysis, business analysis, and even data science, enhancing your overall data capabilities. 

Excel & Power BI Basics

  • Total Duration: 4-6 Weeks (20-30 Working Days @ 1 hr/day) 
  • Course Goal: To provide fundamental data concepts, hands-on proficiency in Excel for basic data manipulation and charting, and an introduction to Power BI for creating simple interactive reports. 
  • Prerequisites: Basic computer literacy and a desire to work with data. No prior programming or advanced technical experience required. 
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SQL, Power BI & Tableau Core

  • Total Duration: 8-12 Weeks (40-60 Working Days @ 1 hr/day) 
  • Course Goal: To provide advanced data preparation skills using SQL and Power Query, gain proficiency in building complex interactive dashboards in Power BI, and introduce core concepts and visualization techniques in Tableau. 
  • Prerequisites: Completion of Data Visualization Foundations Course or strong foundational understanding of Excel and basic Power BI. 
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Strategic Insights & Advanced Automation

  • Total Duration: 24 Weeks (120 Working Days @ 1 hr/day) 
  • Course Goal: To transform learners into expert Data Visualization and BI Analysts capable of performing advanced data modeling, creating highly sophisticated and performant dashboards, automating complex reporting workflows, and driving strategic insights. 
  • Prerequisites: Completion of Advanced Data Visualization Course or strong practical experience with SQL, Power BI, and Tableau. 
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Career Roles Achievable After This Course: Upon successful completion of the Bootcamp, graduates will be well-prepared for roles such as: 
  • BI Developer 
  • Data Visualization Specialist 
  • Data Analyst 
  • Reporting Analyst 
  • Business Intelligence Consultant 
  • Power BI Developer 
  • Tableau Developer 
  • Analytics Engineer (Entry-level) 
Top 10 Questions: Why Choose This Course? 
  1. Why should I learn both Power BI and Tableau? Learning both gives you broader market appeal and allows you to choose the best tool for specific organizational needs, as both are widely used but have different strengths. 
  2. Is this course suitable for beginners with no prior data or visualization experience? The “Crash Course” starts with fundamental data concepts and introduces basic Excel skills, making it accessible for motivated beginners. 
  3. Will I learn to connect to various data sources? Yes, you will gain experience connecting to flat files (CSV, Excel), databases (SQL), and potentially cloud data sources. 
  4. How will this course help me clean and prepare data for visualization? You will learn robust data transformation techniques using Power Query (in Power BI) and Tableau Prep Builder (conceptual), as well as basic SQL for data preparation. 
  5. Will I be able to create interactive dashboards? Absolutely. A core focus is on designing and building interactive dashboards with filters, slicers, drill-downs, and other dynamic features in both tools. 
  6. Does the course cover advanced calculations and data modeling? Yes, you will learn DAX (Data Analysis Expressions) in Power BI and calculated fields in Tableau for advanced computations and robust data modeling. 
  7. How are the courses structured to fit my learning schedule? Each daily session is designed for approximately 1 hour, allowing for consistent, manageable learning over the specified weeks, reinforced by hands-on labs. 
  8. Will I learn to share my reports and dashboards securely? Yes, the Bootcamp covers publishing reports to Power BI Service and Tableau Server/Cloud, including sharing options and basic security. 
  9. What kind of projects will I build? You’ll work on practical projects such as sales performance dashboards, marketing analytics reports, and HR insights, using real-world or simulated datasets. 
  10. What career opportunities are available after completing the Bootcamp? This course directly prepares you for roles such as BI Developer, Data Visualization Specialist, Data Analyst, Business Analyst (with visualization focus), and Reporting Analyst. 

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